This paper argues for explicit consideration of data fidelity during development of context-aware systems. Increasing the amount of data captured, stored, and distributed does not ...
Nowadays many data grid applications need to manage and process a huge amount of data distributed across multiple grid nodes and stored into heterogeneous databases. Grids encoura...
Giovanni Aloisio, Massimo Cafaro, Sandro Fiore, Ma...
Practical applications are generally interdisciplinary in nature. The technology is well matured for addressing individual discipline applications and not for interdisciplinary ap...
In this paper, we propose a framework called CC-Buddy, for maintaining dynamic data coherency in peer-to-peer environment. Working on the basis of peer heterogeneity in data coher...
The continuous increase of data volumes available from many sources raises new challenges for their effective understanding. Knowledge discovery in large data repositories involv...